Top Tech Jobs & Startup Jobs in Delhi

Leads client-facing delivery of complex data, analytics, AI, cloud, and modern data platform solutions. Owns technical workstreams from discovery through deployment, designs pipelines and integrations, modernizes legacy data environments, applies testing and governance practices, troubleshoots complex issues, and ensures production readiness. Guides engineers, reviews technical deliverables, contributes to proposals and technical discovery, mentors consultants, and develops reusable engineering patterns for the Data Practice.

Leads hands-on development and modernization of web, mobile, API, and cloud-native applications. Responsibilities include writing and reviewing production code, solving complex architectural problems, mentoring engineers, applying AI-assisted development tools across the SDLC, producing technical designs, and supporting testing, security, DevSecOps, observability, operational readiness, technical scoping, and pre-sales activities.

Build, test, debug, and deploy production-quality software for client application modernization engagements. Own features and small workstreams, create technical designs, participate in code reviews, apply testing and security practices, and use AI-assisted development tools across the software lifecycle. Collaborate with client stakeholders, present technical work, manage risks, and coach junior consultants across web, mobile, API, integration, and cloud-native projects.

Manage technical projects end-to-end using Agile and Waterfall. Coach teams on Scrum maturity, remove impediments, coordinate resources, manage risks, vendors, budgets, schedules, and client communications to ensure delivery and client satisfaction.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Implement and customize ServiceNow ITSM and Service Portal solutions, perform integrations (REST, SOAP, MID Server), maintain Discovery and CMDB, develop and optimize server/client scripts (Business Rules, Script Includes, UI Policies), run workshops/demos, translate client requirements into user stories, mentor junior developers, and participate in Agile delivery cycles.

Lead design, customize, and implement ServiceNow ITSM, Service Portal, and ITOM solutions. Perform integrations (REST, SOAP, MID Server), Discovery and CMDB maintenance, and develop/optimize scripts. Run workshops, mentor junior developers, and participate in Agile delivery to translate client requirements into scalable ServiceNow solutions.

The Senior ServiceNow Project Manager oversees technical projects, guiding teams in Agile/Scrum practices, managing client expectations, and ensuring project success from initiation to closure while fostering a supportive environment.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.

Lead end-to-end cloud and platform engineering consulting engagements, owning scope, governance, client relationships, delivery quality, and executive outcomes. Manage and coach a 2–3 person engineering pod, oversee staffing and utilization, conduct multi-cloud technical discovery, and develop prioritized recommendations and roadmaps. Evolve Rapid Solutions offerings, playbooks, templates, and delivery standards while applying AI-driven solutions to improve efficiency and insight.